Rapid Classification of Respiratory Syncytial Virus and Sendai Virus by a Low-cost and Portable Near-infrared Spectrometer

Weiran Song, Hui Wang, Enayetur Rahman, Judit Barabas, Jiandong Huang, Ultan F. Power, Hugh J. Byrne, James McLaughlin, Chris Nugent, Paul Maguire

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this work, we present the combination of near-infrared spectroscopy and chemometrics to distinguish respiratory syncytial virus (RSV) and Sendai virus (SeV), the first study of its kind. Using a low-cost and portable spectrometer, a total of 440 virus spectra were collected over four separate sessions. The spectra were pre-processed by normalisation and baseline removal, and variable elimination was conducted based on the standard deviation. Partial least squares discrimination analysis was used to model the relationship between the spectra and the virus categories, resulting in the accuracy of 0.825 and 0.855 for validation and prediction, respectively. Since the portable spectrometer has simple operation and can provide analytical results in real time, it can be used as a viable tool for rapid, on-site and low-cost virus screening for RSV, SeV and possibly other similar viruses such as SARS-CoV-2.

Original languageEnglish
Title of host publication2021 IEEE Sensors, SENSORS 2021 - Conference Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728195018
DOIs
Publication statusPublished - 2021
Event20th IEEE Sensors, SENSORS 2021 - Virtual, Online, Australia
Duration: 31 Oct 20214 Nov 2021

Publication series

NameProceedings of IEEE Sensors
Volume2021-October
ISSN (Print)1930-0395
ISSN (Electronic)2168-9229

Conference

Conference20th IEEE Sensors, SENSORS 2021
Country/TerritoryAustralia
CityVirtual, Online
Period31/10/214/11/21

Keywords

  • Sendai virus
  • classification
  • data pre-processing
  • near-infrared spectroscopy
  • partial least squares discriminant analysis
  • respiratory syncytial virus

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